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Predictive Analytics Certificate Program

Predictive Analytics is among the fastest growing fields in business today. Companies such as Google, Twitter, Netflix and CPG are recruiting predictive analytics professionals to mine the ever-growing mass of consumer behavior data to gain a competitive edge in the marketplace. Statisticians no longer need to be the back room number cruncher.

The eight-week Predictive Analytics Certificate Program will introduce you to many of the popular advanced statistical techniques used in the field of marketing science and predictive analytics. The course will teach multivariate techniques used to transform information from large data sets into actionable insights. You will gain hands-on experience using SPSS and prepare to be a part of this growing field.

As you carefully sift through the data, you will discover how to turn data into insights and insights into knowledge. You will experience how the art of “story telling” helps to communicate your findings better, captures your audience’s attention and leads to actionable management decisions.
The Predictive Analytics Certificate Program also counts as an elective towards completing the Integrated Marketing Communications Certificate Program.

NOTE: This is not a statistics course. Even though all the techniques are based on the theory of statistics, the approach taken here is logic-based, rather than formula-based. Hence, you will not be a statistics expert at the end of this program; however, you will know and apply all the techniques in a practical manner. Requirement: Basic Business Statistics. No prior experience in SPSS is required.

Testimonials

"The Predictive Analytics Certificate Program was an excellent growth experience for me and the class was right on target with the course description. The instructor did a great job and I greatly appreciated the focus on developing stories from the analyses that communicate clearly to executive management teams and help them make critical business decisions. I look forward to applying these multivariate techniques I learned in the course in an operations management setting."
-Fred Heller

"The course strengthened my knowledge of advanced data analysis and statistical modeling techniques and gave me practical experience at applying [these techniques] to a complex real-world business problem. The course was well laid out and delivered with a highly efficient style. I was able to recognize my passion for the subject and will pursue further education in this field of study."
-Bryan Rulli

Who Should Attend

Professionals in fields such as analytics, marketing, management, business intelligence, data and marketing science, and operations research
Professionals wanting to improve their analytical skills
Individuals with a technical background interested in marketing or data analysis
Individuals with no technical background interested in exploring careers in data analysis
College graduates in the social sciences interested in furthering their data analysis skills

Benefits

Gain knowledge of SPSS
Discover how to use data to create a coherent “story” to communicate an effective marketing strategy and make presentations supported by data analyses
Become proficient in advanced multivariate statistical techniques using a practicing manager’s point of view
Learn to match the right technique with the right opportunity
Update and enhance your current skills

Topics/Syllabus

Topics

Overview of multivariate data analysis
Introduction to measurement scales & understanding the variate
Factor analysis for data reduction
Multiple regression for prediction purposes
Cluster analysis for better segmentation
Multiple discriminant analysis for classification
Binary logistic regression for predicting purpose
Correspondence analysis to visualize associations between variables

Syllabus

Week 1

Overview of Multivariate Data Analysis
Overview Fundamental Business Statistics Concepts
Introduction to SPSS

Week 2

Introduction to Measurement Scales and Descriptive Statistics
Using SPSS for graphical examination of data

Week 3

Understanding the Variate and Descriptive Statistics Data Summarization techniques
Methods of Association and Correlation
Using SPSS Correlation Analysis to measure relationships between variables

Week 4

Multiple Regression Analysis Understanding Multiple Regression Analysis
Using SPSS multiple regression analysis to explain and predict causal relationships

Week 5

Multiple Discriminant Analysis and Binary Logistic Regression
Understanding Multiple Discriminant Analysis and logistic regression
Using SPSS multiple discriminant analysis and logistic regression to predict

Week 6

Factor Analysis
Understanding Exploratory Factor Analysis and Principle Components Analysis
Using SPSS for data reduction and variable reduction
Reliability Analysis

Week 7

Cluster Analysis
Understanding Cluster Analysis
Using SPSS cluster analysis to create customer segments

Week 8

Correspondence Analysis
Understanding Correspondence Analysis
Using SPSS correspondence analysis to visualize associations between variable

FAQ

Will we be using data?
Yes, this program teaches you how to use SPSS.

Do I need to have experience with SPSS?
No prior experience in SPSS is required.

Do I need to access my own company's data?
No. A real-world consumer dataset will be provided for in-class data analysis.

Do I get DePaul credit for this class?
No, but some DePaul CPE courses have been approved for CEU credits. This is a professional education program with different requirements than courses taken for academic credit.

How big is the class?
Class size is limited to allow for a more interactive environment in the classroom. Most classes have fewer than 20 students.

Will I have to write papers and take exams?
There are no papers or exams for the program. Each week, online review questions will be available for students who want to track their comprehensive understanding of the course material. This feature is optional and is not a requirement for completing the course

During class time you will work with SPSS and learn how to analyze and interpret a different multivariate statistical technique using a real-world dataset.

Does this program qualify for financial assistance through the Workforce Innovation and Opportunity Act (WIOA)?
In order to find out if you qualify for financial assistance, you must first contact Workforce Development. As a certified program under the ILLINOIS workNet initiative, this program has been approved for workforce training grants for those who are eligible. Funding may be available for those receiving unemployment benefits. Please contact Workforce Development for more information.

What are the requirements for the Integrated Marketing Communications Certificate?
To receive the IMC certificate, students must successfully complete three required courses and two elective courses plus one seminar. Follow the link to learn more about the IMC Certificate and review the list of courses.

What is the difference between a certificate and a certification?
A certificate is earned after completion of a course or a series of courses. Certificates are usually awarded by a training provider or an educational institution. Certification typically includes an experience, an educational component and requires passing an exam. Certifications are awarded by governmental and/or professional agencies and often require recertification to remain certified.

For More Information, Contact:

Jurate Murray

Email: jmurray9@depaul.edu
Phone: +1 312-362-5913

Upcoming Class Offerings

Predictive Analytics Certificate Program

Dates: 5/9/2024 - 6/27/2024
Time: 6:00 PM - 9:00 PM
Location: Online
Cost: $1,795.00
Registration Deadline: 05/2/2024 - a $75 late fee will be assessed after this date for late registrations
Final Deadline: 05/9/2024

Program Brochure

Paper Registration

If you wish to register for a class via a paper form, click here.

Student Policies

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Contact Us

For general inquiries, please email us or call 312-362-6300.